Top Machine Learning Jobs in Paris

Design and deploy AI agents and automation for legal workflows, advise on AI tool procurement and responsible use, and lead legal operations transformation. Optimize matter management, vendor oversight, budgeting, CLM systems, and performance reporting while partnering cross-functionally. Provide legal guidance on technology, privacy, data protection, regulatory compliance, and intellectual property, and train legal, compliance, and business teams on AI-related topics.

Lead end-to-end Celonis implementations for strategic customers, managing scope, timelines, resources, quality, governance, risks, and value realization. Support pre-sales proposals, manage executive and operational client relationships, coordinate cross-functional and distributed teams, promote AI-enabled delivery, mentor Services team members, and improve implementation methods. The role requires strong project leadership, communication, analytical problem-solving, and experience delivering complex business and technical projects in consulting or professional services.

Develop and deploy AI, LLM, and generative AI agent tools for credit trading workflows. Apply machine learning to trading signals, portfolio optimization, risk monitoring, hedging, and automated reporting. Build trade-support infrastructure, analyze credit portfolio data, collaborate with model control teams, and advance automation across credit portfolio lending markets.

Conduct product-focused research on machine learning for wearable-device time-series data. Design experiments, build signal-processing and ML pipelines, and develop cognitive and physiological decoding models from multimodal biological signals. Collaborate with hardware, software, and research teams on data capture, model evaluation, and demos, while translating findings into recommendations for leadership. The role requires strong biosignal processing, Python, wearable biometrics, and applied research or engineering experience.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Develop and implement machine learning and deep learning algorithms to analyze MRI data, collaborate with neuroscientists and clinicians to define model requirements, evaluate and optimize models for clinical applications, and write reports and scientific publications.

Leads strategic enterprise Cloud and AI sales opportunities from qualification through commercial commitment, execution readiness, transition, and early value realization. Builds executive relationships, shapes transformation strategies and architectures, develops value cases and Azure consumption plans, and coordinates Microsoft specialists, engineering, delivery, finance, partners, and deal teams. Advises customers on AI, cloud modernization, security, governance, reliability, FinOps, and enterprise operating models while supporting strategic Azure commitments and coaching peers.

Develop and enable VAR and reseller partners across EMEA South by providing technical presales support, architectural guidance, solution positioning, workshops, and sales-cycle expertise. Build joint offerings, cultivate technical champions, present to executive stakeholders, and collaborate with sales, marketing, product, and partner teams. The role requires expertise in data platforms, pipelines, cloud infrastructure, DevOps, CI/CD, and ideally machine learning, with up to 25% travel.

Six-month Data and AI internship contributing to machine learning, optimization, generative AI, LLM pipelines, RAG, agentic workflows, and model production practices. Responsibilities include developing algorithms, retraining and monitoring models, evaluating AI quality and robustness, documenting failures, supporting responsible AI compliance, and explaining concepts to deployment managers. The role requires Python, data science and machine learning knowledge, data management experience, analytical ability, fluent English, and a university internship agreement.

Develop computer vision and machine learning algorithms for robotics and aerospace projects. Responsibilities include researching vision methods, preparing datasets, building training pipelines, optimizing models, deploying solutions, validating performance in real-world environments, monitoring production systems, and collaborating with software and simulation teams.

Lead the development and delivery of electronic warfare and SIGINT systems from concept through field deployment. Responsibilities include managing a multidisciplinary EW engineering team, defining system architectures, coordinating mechanical, electrical, software, GNC, and ML teams, performing trade-off analyses and simulations, overseeing integration and validation, and maintaining requirements traceability, documentation, and testing consistency.

Supports P&C finance analytics by developing dashboards, data pipelines, and data-driven tools using Foundry, Databricks, SQL, Python, and Tableau. Collaborates with finance and data teams to integrate and validate data, improve analytics processes, and support IFRS 17, Solvency II, and quarterly financial reporting. Analyzes underwriting and financial trends, prepares management deliverables, documents data strategies, and responds to business needs.

Leads data analytics for Ketchapp’s mobile game portfolio, translating player and user acquisition data into actionable insights. Owns the analytics roadmap, dashboards, data quality, source requirements, and reporting automation. Manages and mentors analysts, partners with engineering and game teams, and promotes data-driven decision-making through training and best-practice sharing.

Build and maintain backend services, APIs, integrations, evaluation systems, data pipelines, and development environments for AI agents. Develop automated evaluations, analyze agent traces and failures, support model integration, and improve service reliability through testing, monitoring, logging, and safe deployments. Collaborate with software engineers, researchers, model-training teams, data specialists, and product owners while writing maintainable Python code and owning scoped components through implementation and operation.

Lead Wiremind’s product organization and company-level strategy, overseeing approximately 15 Product and Design employees. Set product direction, align software and AI/ML roadmaps, improve product processes, unblock squads, enhance UX for complex expert-facing B2B SaaS products, and coach product leaders. The role focuses heavily on revenue management, forecasting, pricing, and transport products while partnering with the CEO and executive team.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

Manage and develop a global team of Support Engineers while overseeing daily service delivery, escalations, ticket quality, operational metrics, and workflow improvements. This player-coach role involves coaching, performance management, onboarding, complex case investigations, cross-functional collaboration, and improving customer satisfaction, resolution times, and support efficiency. The position is based in Paris with hybrid work.

The Chief Marketing Officer will lead Wiremind’s global go-to-market strategy across product, sales, customer success, and executive leadership. Responsibilities include product and market positioning, packaging and pricing alignment, demand generation, corporate communications, PR, thought leadership, sales enablement, performance measurement, and international growth. The role manages an 11-person marketing team, drives revenue-oriented metrics such as CAC, LTV, and pipeline contribution, and develops AI-enabled market intelligence and marketing operations.

Lead Sparteo’s Data & AI organization across data engineering, infrastructure, data science, MLOps, analytics, and BI. Define the AI roadmap, govern data and KPI standards, oversee real-time ML and adtech infrastructure, manage budgets, and develop multidisciplinary teams. The role requires deep mathematical and technical authority, hands-on architecture and model auditing, scaling experience in high-volume environments, and executive-level representation to the board, investors, and business leaders.

SAP Functional Consultant supporting major clients with SAP S/4HANA deployments, implementations, and migrations. Responsibilities include functional expertise across SAP modules, business and technical project support, client collaboration, analytical problem-solving, and participation throughout project phases. The role also requires familiarity with Agile, Scrum, Waterfall, SAP Fiori, SAP Analytics Cloud, SAP BTP, migration tools, AI, and machine learning.

Develop causal inference, experimentation, predictive modeling, segmentation, forecasting, and LTV analyses for leboncoin’s Recommerce business. Measure promotional incrementality, optimize CRM and marketing decisions, identify high-value user segments, predict logistics outcomes, and prototype AI features. Collaborate with data, product, and engineering teams while translating complex analytical findings into actionable business recommendations.

Design user experiences for an agentic AI platform used by large organizations. Responsibilities include user research, UX/UI and interaction design, prototyping, user testing, A/B testing, impact measurement, roadmap shaping, and collaboration with product, engineering, and research teams. The role focuses on making complex AI workflows understandable, trustworthy, and intuitive while contributing to design systems and exploring code and AI-assisted design workflows.

Design user-centered experiences for an agentic AI workflow platform. Conduct user research, create designs and prototypes, test products through interviews and A/B testing, measure impact, iterate quickly, and shape the product roadmap with product and engineering teams. The role requires simplifying complex AI-driven workflows, designing for unpredictable AI behavior, maintaining user control, contributing to design systems, and collaborating comfortably on technical topics.

Lead a team of Data Engineers responsible for the Marketing Data Hub. Define secure, modern data architectures; oversee ingestion, transformation, exposure, partner flows, adtech, and data quality; collaborate with Product, CRM, business teams, and partners; support AI initiatives; and ensure operational stability and delivery across international projects.

Contribute to AI-powered forecasting and optimization tools for revenue management. Analyze optimization algorithms, monitor decision data, develop performance KPIs, validate new features, write product tickets, and collaborate with Data Science, Machine Learning, Software, and Product teams. Share findings in product discussions and help deliver improvements used by transport and events clients.